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Coding questions
Explore algorithm tutorials, coding and system design questions, interview experiences, and computer science study guides.
1,899 resources · Page 70 of 80
Coding questions · Oscar
Solve Morse and Network Access Tasks
This question evaluates string encoding/decoding and combinatorial parsing skills (Morse code conversion and ambiguous decoding) alongside spatial search and filtering competencies for proximity-based access checks, testing algorithmic reasoning, pattern recognition, backtracking possibilities, distance computation, and data-structure use.
Coding questions · DoorDash
Solve multi-part SQL with sliding windows
This question evaluates a candidate's practical SQL data-manipulation skills, including time-based rolling aggregates, distinct counts and deduplication, multi-table joins, revenue aggregation and ranking, and session/streak computations within the Data Manipulation (SQL/Python) domain.
Coding questions · TikTok
Solve pair-counting and account-merging problems
This question evaluates proficiency in algorithmic problem-solving for pair counting and entity consolidation, focusing on efficient array processing, threshold-based counting, and merging records by shared identifiers, and it falls under the Coding & Algorithms domain.
Coding questions · Arista
Solve palindrome and missing-number variants
This question evaluates competencies in string processing, array manipulation, binary search, and algorithmic complexity analysis by asking a palindrome check and a missing-number problem that requires both O(n) and O(log n) reasoning, emphasizing edge-case handling and time/space complexity discussion.
Coding questions · Airbnb
Solve palindrome pairs and key path
This pair of problems evaluates proficiency with string-processing algorithms and advanced data structures for matching, alongside state-space graph search techniques and state-encoding strategies.
Coding questions · Meta
Solve parsing, counting, ranges, and window problems
This set of problems evaluates parsing and string-processing, array and range reasoning, binary search, and sliding-window/frequency-counting competencies within the Coding & Algorithms domain, covering expression evaluation with operator precedence, counting occurrences in sorted arrays, summarizing missing ranges, and minimum-window substring problems. Such questions are commonly asked to assess the ability to implement efficient algorithms that meet specified time and space bounds while handling edge cases, and they require practical implementation skills (linear and logarithmic time techniques) combined with conceptual understanding of precedence, search boundaries, and two-pointer/window strategies.
Coding questions · Meta
Solve permutation successor and evaluate expressions
This question evaluates understanding of lexicographic permutation generation with in-place array manipulation and linear-time arithmetic expression parsing and evaluation, focusing on algorithmic efficiency, constant extra space constraints, and correct operator semantics.
Coding questions · Uber
Solve Prime Jumps and Pipeline Scaling
This question evaluates algorithmic problem-solving skills in constrained path optimization and resource-allocation throughput maximization, including concepts such as graph modelling with prime-step constraints, dynamic programming, number-theoretic reasoning, and combinatorial optimization.
Coding questions · Anthropic
Solve programming task with follow-ups
This question evaluates algorithmic problem-solving skills, including core algorithm implementation, handling a consecutive-N-element constraint, and designing an optimization that leverages suffix-related information.
Coding questions · Meta
Solve Python and SQL data tasks
This question evaluates data manipulation and engineering competencies by testing Python proficiency with nested data structure handling, complexity analysis and test-case design, alongside SQL proficiency in UTC-aware aggregation and per-user deduplication to compute daily active users; it is categorized as Data Manipulation (SQL/Python) within the data engineering domain. Such problems are commonly asked to assess practical implementation ability and robustness under edge cases, as well as conceptual understanding of time/space complexity and correct date-time handling, reflecting a primarily practical application with elements of conceptual analysis.
Coding questions · OneMain Financial
Solve Python Challenges: Reverse String, Palindrome, Fibonacci, Unique List
This question evaluates fundamental programming skills such as string manipulation, algorithmic reasoning for numeric patterns, sequence generation, and data deduplication within the Coding & Algorithms domain for a Data Scientist role.
Coding questions · Jane Street
Solve queue switch and coin change puzzles
This two-part question evaluates probabilistic reasoning about expected waiting times with random queue switching and combinatorial/algorithmic counting for coin-change combinations, testing skills in probability, expectation and order statistics as well as combinatorics and dynamic programming within the Coding & Algorithms domain.
Coding questions · Upstart
Solve Reported OA Coding Problems
This prompt evaluates algorithmic problem-solving skills across grid-based ordering constraints, array pair-sum identification, and minimum-difference computation, testing knowledge of data structures, time/space complexity, and correctness conditions.
Coding questions · Coinbase
Solve restaurant path and order event tasks
This question evaluates algorithmic problem-solving and system correctness skills: the grid task tests graph traversal and shortest-path plus combinatorial collection under constraints, while the event task tests idempotent stream processing, deduplication, and order-state management, spanning algorithms, graph theory, and distributed systems/stream-processing domains. It is commonly asked because it assesses both practical implementation ability and conceptual reasoning — requiring efficient algorithm design for shortest-path and state-space optimization alongside conceptual and practical understanding of idempotency and correctness under retries.
Coding questions · Snapchat
Solve rotating-lock BFS with blockers
This question evaluates a candidate's understanding of state-space modeling, shortest-path search strategies, and constraint handling when navigating combinatorial configuration spaces.
Coding questions · Amazon
Solve Rotting Oranges and Bus Walk Reachability
This question evaluates graph and grid traversal skills, state modeling over time, and constrained reachability combining free transit edges with Manhattan-distance walking.
Coding questions · ByteDance
Solve Search Speed and String Product
This pair of problems evaluates algorithm design and implementation skills, focusing on efficient search/optimization for constrained processing speed and manual arbitrary-precision string multiplication for very large integers.
Coding questions · Meta
Solve shipping capacity and expression insertion
This combined prompt evaluates algorithmic problem-solving skills: the first problem tests array partitioning and capacity planning under ordering and resource constraints, and the second tests combinatorial expression generation, tokenization, and numeric edge-case handling in digit strings.
Coding questions · dYdX
Solve shortest and label-similar paths
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve shortest and label-similar paths states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding questions · Amazon
Solve sliding-window and heap problems
This question evaluates algorithm design and data structure proficiency, focusing on sliding-window techniques for fixed-length subarray aggregates and heap- or hashmap-based approaches for maintaining medians in a real-time integer stream, along with considerations for concurrent execution.
Coding questions · Meta
Solve sliding window and tree BFS problems
This question evaluates algorithmic problem-solving and data-structure manipulation, focusing on the sliding window technique for array subproblems and iterative breadth-first search for binary tree level-order traversal, with emphasis on time and space complexity reasoning.
Coding questions · Akuna Capital
Solve sliding window, graph top-k, and greedy tasks
This multi-part question evaluates proficiency in algorithm design and data-structure use across sliding-window string processing, top-k aggregation on weighted graphs, and greedy counting on binary arrays within the Coding & Algorithms domain, emphasizing string and graph algorithms, top-k/heap techniques, and greedy pattern recognition.
Coding questions · Adobe
Solve SQL and Python Data Manipulation Tasks
This question evaluates proficiency in SQL event-log aggregation and basic Python data-structure transformations, assessing competencies such as counting distinct users, identifying frequent event types, and performing dictionary/list/string manipulations.
Coding questions · Upstart
Solve SQL CTR and Python analytics tasks
This question evaluates SQL and Python data-manipulation competencies, covering date-based user filtering, joins and deduplication across events, users and pin metadata, aggregated CTR calculation with division-by-zero handling, and vectorized Pandas grouping, NaN handling, case-insensitive filtering, and tie-breaking.